International Journal of Engineering and Computer Science
http://ijecs.in/index.php/ijecs
<p style="font-weight: 400;"><strong>International Journal Of Engineering And Computer Science </strong></p> <p style="font-weight: 400;"><strong>(IJECS)</strong> is a leading international journals for publication of new ideas, the state of the art research results and fundamental advances in all aspects of computer science and engineering. IJECS is a scholarly open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications related to Computer Science and Engineering</p> <p style="font-weight: 400;"><span style="font-size: 12pt; font-family: 'Times New Roman', serif;"><strong>IJECS</strong> would take much care in making your article published without much delay with your kind cooperation.</span></p> <p>IJECS hopes that Researchers, Research scholars, Academician, Industrialists, Consultancy etc. would make use of this journal publication for the development of science and technology </p> <p><strong>IJECS</strong> welcomes the submission of documents relating to any branch of the Theory of Computing and Engineering and its applications in business, industry and other topics. The topics covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, industrial engineering, internet computing, networking, operations research scientific computing, software engineering and its applications</p> <p><strong>Editorial Policy </strong></p> <p>Authors should prepare their manuscripts according to the instructions given in the authors' guidelines. Manuscripts which do not conform to the format and style of the Journal may be returned to the authors for revision or rejected. The Journal reserves the right to make any further formal changes and language corrections necessary in a manuscript accepted for publication so that it conforms to the formatting requirements of the Journal</p> <p> </p>International Journal of Engineering and Computer Scienceen-USInternational Journal of Engineering and Computer Science2319-7242Breast Cancer Detection Using Machine Learning
http://ijecs.in/index.php/ijecs/article/view/4794
<p>In today's Breast cancer detection becomes more accurate through the use of machine learning algorithms, which examine complex patterns found in patient data. The early diagnosis that these models provide could lead to better patient outcomes and prompt actions. The goal of this study paper is to increase the accuracy and efficiency of diagnostic processes by presenting a thorough investigation of the use of machine learning approaches for breast cancer diagnosis. We investigate how well Support Vector Machines (SVM), Random Forest, and Neural Networks differentiate between benign and malignant cases using a variety of datasets. To improve the discriminatory strength of our models, we also incorporate sophisticated feature extraction methods like the Wavelet Transform and Gabor Filter. The outcomes of the experiment show the promise of various machine learning techniques, with SVM showing a noteworthy accuracy rate. In addition, the research adds to our understanding of decision-making processes by offering insights into how interpretable the models are. Our research highlights the importance of using machine learning to detect breast cancer, providing a viable path forward for improving early diagnosis and treatment planning that follows.</p> <p><em>Keywords—</em>Breast cancer, Machine Learning, Accuracy, Efficiency, Support Vector Machines (SVM), Random Forest, Neural Networks, Feature Extraction, Wavelet Transform, Gabor Filter, Interpretability, Early Diagnosis, Treatment Planning.</p>Satakshi singhDr. Kavitha R
Copyright (c) 2024 International Journal of Engineering and Computer Science
http://creativecommons.org/licenses/by-nc-sa/4.0
2024-03-142024-03-141303260392604810.18535/ijecs/v13i03.4794Predictive Analysis in Healthcare
http://ijecs.in/index.php/ijecs/article/view/4795
<p><span style="font-weight: 400;">This research paper explores the transformative role of predictive analysis in healthcare, with a specific focus on predicting and managing Parkinson's disease as a case study. By integrating advanced analytics and machine learning techniques, we delve into the intricate landscape of healthcare data to forecast patient outcomes, optimize resource allocation, and enhance overall healthcare decision-making. Through an exhaustive examination of literature and scientific inquiry, we illuminate the promising applications of predictive analysis in addressing the chronic and complex nature of neurodegenerative diseases like Parkinson's. The paper also discusses the challenges, ethical considerations, and future directions within the realm of predictive analysis in healthcare, offering a comprehensive perspective on its potential to revolutionize patient care and public health outcomes.</span></p>Soumalya Ghosh DastiderDr Kavitha R
Copyright (c) 2024 International Journal of Engineering and Computer Science
http://creativecommons.org/licenses/by-nc-sa/4.0
2024-03-232024-03-231303.260582606710.18535/ijecs/v13i03.4795Enlighten Minds Initiative: Bridging Educational Gaps Through Vocational Training
http://ijecs.in/index.php/ijecs/article/view/4804
<p>The Enlighten Minds Initiative (EMI) is a forward-thinking NGO dedicated to enhancing access to education and vocational training for disadvantaged students worldwide. Our mission is to bridge the gap in educational opportunities by establishing a platform that connects compassionate donors with students facing financial constraints. Through strategic partnerships with local educational institutions and vocational training providers, EMI identifies deserving students who lack the resources to pursue their educational goals. At the core of our initiative is an innovative web application designed to streamline the donation process. Donors can explore student profiles, gain insight into their educational aspirations, and provide direct support. EMI places a strong emphasis on transparency and accountability, ensuring that donors receive regular updates on student progress and the utilization of funds.</p>Rakshith NSameer kumarB ArjunNikhil Devraj GowdaHarshit AgarwalDr.Febin Prakash
Copyright (c) 2024 International Journal of Engineering and Computer Science
http://creativecommons.org/licenses/by-nc-sa/4.0
2024-03-232024-03-231303260492605610.18535/ijecs/v13i03.4804